• Journal of Convergence for Information Technology
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• v.8 no.6
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• pp.1-7
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• 2018

The study was investigate the effect of quality of life of mothers in the postpartum period. This study was a descriptive research study of 113 women who lived in D metropolitan area within 6-8 weeks after birth, Data were analyzed using SPSS 21.0 program ANOVA, t-test, Pearson's correlation analysis and multiple random analysis. Data collection was from August 2018 to September 2018. The results were as follows. The most influential factors on quality of life were parenting stress(${\beta}=-.646$, p =.000), fatigue(${\beta}=-.329$, p =.009). It is necessary to develop a nursing intervention program related to physical and mental health because maternal quality of life leads to lower quality of life when feeling emotional mood change such as emptiness and depression.

• Journal of Convergence for Information Technology
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• v.8 no.6
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• pp.85-91
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• 2018

The purpose of this study to investigate the effects of self-efficacy and clinical practice satisfaction among nursing students and to provide counseling and guidance for nursing. There are 121 nursing students 4th grade students who accomplished all clinical practices cited one specific location. Collected data were analyzed using Pearson's correlation and Multiple regression. The results shown by the study were shown to be positively correlated. The results of the study were clinical practice satisfaction 13.3%(${\beta}=.248$) and self-efficacy 38.6%(${\beta}=.570$), respectively. A total of 44% were the factors affecting the career attitude maturity. Therefore, it is necessary to develop a curriculum to enhance the self-efficacy of nursing students and to improve the satisfaction of clinical practice.

• Journal of Convergence for Information Technology
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• v.9 no.5
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• pp.86-94
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• 2019

This study investigated the differences of perceived parenting attitude and academic stress on smartphone addiction according to the classification of addiction-risk group among middle school students. A descriptive research design was used. The subjects were 358 middle school students from five middle school in Daegu. Data were analyzed by descriptive statistics, ${\chi}^2$ test, t-test, and stepwise multiple regression using SPSS 18.0. Smartphone addiction-risk group was 97(27.0%) and general group was 261(72.9%). Smartphone addiction-risk group was more negatively perceived parenting attitude and higher academic stress than the general group. The most influential factors on addiction-risk group was using time in a day(${\beta}=.29.4$, p=.003) and general group was academic stress(${\beta}=.298$, p=.000). It is important to develop an intervention program to prevention the smartphone addiction according to the classification of addiction-risk group.

• Journal of the Korean Institute of Telematics and Electronics B
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• v.29B no.11
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• pp.8-15
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• 1992

This paper analyzes the properties of such algorithm that corresponds to the LMS algorithm with additional update terms, parameterized by the scalar factors $\alpha$ and $\beta$, and presents its structure. The analysis of convergence leads to complex eigenvalues of the transition matrix for the mean weight vector. Regions in which the algorithm becomes stable are demonstrated. The computational cmomplexities of MLMS algorithms are compared with those of MADF, sign and the conventional LMS algorithms. In application of the system identification the second order momentum MLMS algorithm has faster convergence speed than LMS and the first order MLMS algorithms.

• Communications for Statistical Applications and Methods
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• v.4 no.1
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• pp.229-241
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• 1997

We consider discrimination curve and minimum dwell time for Poisson distribution and Poisson-power function distribution. Let the random variable X has Poisson distribution with mean .lambda.. For the hypothesis testing H$\_$0/:.lambda. = t vs. H$\_$1/:.lambda. = d (d$\_$0/ if X.leq.c. Since a critical value c can not be determined to satisfy both types of errors .alpha. and .beta., we considered discrimination curve that gives the maximum d such that it can be discriminated from t for a given .alpha. and .beta.. We also considered an algorithm to compute the minimum dwell time which is needed to discriminate at the given .alpha. and .beta. for the Poisson counts and proved its convergence property. For the Poisson-power function distribution, we reject H$\_$0/ if X.leq..'{c}.. Since a critical value .'{c}. can not be determined to satisfy both .alpha. and .beta., similar to the Poisson case we considered discrimination curve and computation algorithm to find the minimum dwell time for the Poisson-power function distribution. We prosent this algorithm and an example of computation. It is found that the minimum dwell time algorithm fails for the Poisson-power function distribution if the aiming error variance .sigma.$\^$2/$\_$2/ is too large relative to the variance .sigma.$\^$2/$\_$1/ of the Gaussian distribution of intensity. In other words, if .ell. is too small, we can not find the minimum dwell time for a given .alpha. and .beta..

• Journal of Digital Convergence
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• v.16 no.8
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• pp.253-261
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• 2018

The purpose of this study was to examine the predictive relationships between the predictors and self-esteem among hemodialysis(HD) patients. Predictive correlational design, participants 154 HD patients in the Seoul. SPSS for Window 22.0 used to perform descriptive statistics, Pearson's Correlation Coefficient and Stepwise Regression analysis. The strongest predictor was uncertainty (${\beta}=-.33$, p<.001), economy (${\beta}=.18$, p<.05), occupation (${\beta}=.17$, p<.05) and health status (${\beta}=.16$, p<.05) were followed. A total explained variance was 30.0% of self-esteem (Adjust $R^2=.30$). Managing or preventing uncertainty, providing vocational education in consideration of the dialysis environment, providing employment, increasing economic level, and maintaining good health status are factors that enhance self-esteem. Conducted to investigate the self-esteem of HD patients considering the machine-dependent characteristics, future, provide the data of the study to improve the self-esteem of HD patients. Also, nursing intervention should be developed based on the findings.

• Journal of Digital Convergence
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• v.15 no.9
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• pp.385-395
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• 2017

The purpose of this study was to identify factors influencing happiness of nursing students. Data were collected from 219 nursing students in G city and analyzed by the SPSS/WIN 18.0 program. The degree of happiness of nursing students was $27.77{\pm}.2.99$. Happiness had negative correlations with stress in (r=-.889, p<.001), and positive correlations with Gratitude disposition (r=.335, p<.001), Social support (r=.334, p<.001). Factors that had an influence on happiness included stress(${\beta}=-.844$, p<.001), gratitude disposition(${\beta}=.126$, p<.001), grade point average(${\beta}=-.083$, p=.003), social support,(${\beta}=.090$, p=.005). These factors explained 84.0% of the variance in nursing students happiness. These results suggest that development of program to improve happiness of nursing students.

• Journal of the Korea Convergence Society
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• v.8 no.2
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• pp.83-89
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• 2017

The purposed of this study was to identify the factors that affect turnover intention in general hospital nurses. The study subjects were 110 general hospital nurses agreed to participate and understand the purpose of the study. The collected data were analyzed using SPSS WIN 18.0 program. The mean score of emotional intelligence was 3.51 points, and the mean score of job embeddedness was 3.09 points, and the mean score of turnover intention was 3.61 points. Emotional intelligence and turnover intention had a negative correlation, job embeddedness and turnover intention had a negative correlation and emotional intelligence and job embeddedness had positive correlation. The factor with the largest effect on turnover intention was job embeddedness (${\beta}$=-.298, p<.001). The explanatory power of job embeddedness on turnover intention was 21.0%. Therefore, we propose the implementation of a study to develop and apply nursing intervention programs to improve job embeddedness.

• Journal of Korean Ophthalmic Optics Society
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• v.5 no.1
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• pp.101-105
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• 2000

This study was to investigate the effect of EEG wave type on visual cortex of visual target according to position of fixation point on the Korean. Visual evoked potential system used the BIO-Pag and recorded to 586 computer. The illumination was 500 lux and the visual target was red light dot of 3 cm size. The results of the convergence and divergence as follows: The visual stimulation waves on the visual cortex have about 70% of delta wave, about 10% of beta wave, about 9% of theta wave and about 7% of alpha wave respectively. The convergence state was much more appeared the fast wave on the comparative of the divergence. Therefore, the convergence state was much more producted the beta and alpha wave on the comparative of the divergence. On the other hand, on the convergence and divergence, the histogram amplitude of EEG wave appeared almost the non-Gaussian shape. According to the phase analysis of amplitude of EEG wave almost all type was linear shape.

• Journal of the Korea Convergence Society
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• v.6 no.6
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• pp.171-176
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• 2015

This study was carried out to determine the relation between cognition, depression and aggression in the elderly. A questionnaire survey was conducted with 198 elderly people in K region. The results were as follows. (1) The cognition of the elderly showed significant difference by gender, age, religion, marital status, education, living together, healthcare and monthly income (p<.05), and depression showed significant difference by gender and monthly income (p<.05). (2) Cognition and aggression(r=.15, p=.030), depression and aggression(r=.39, p<.001) there was a significant correlation between. Physical aggression and verbal aggression proved most significant correlation among the sub-factors(r=.55, p<.001). (3) Depression (${\beta}=0.568$, p<.001) had an significant influence on aggression. The explanation power was shown to be 10.0%. Accordingly, aggression management programs that are tailored according to the depression level of the elderly are required, and nursing based on this consideration would be of help to improve their quality of life.